class_docstr: Element-wise minimum of input variables.
class_docstr_tok: ["Element-wise","minimum","of","input","variables","."]
code: def backward(self, indexes, grad_outputs):
      x1, x2 = self.get_retained_inputs()
      return MinimumGrad(x1.data, x2.data).apply((grad_outputs[0],))
  
file_path: chainer/chainer/functions/math/minimum.py
imports: from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  import chainer.functions
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the Minimum obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: MinimumGrad